Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian

no code implementations • EAMT 2022 • Petra Bago, Sheila Castilho, Jane Dunne, Federico Gaspari, Andre K, Gauti Kristmannsson, Jon Arild Olsen, Natalia Resende, Níels Rúnar Gíslason, Dana D. Sheridan, Páraic Sheridan, John Tinsley, Andy Way

This paper provides an overview of the main achievements of the completed PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme.

Machine Translation NMT +1

Progress of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian

no code implementations • EAMT 2020 • Andy Way, Petra Bago, Jane Dunne, Federico Gaspari, Andre Kåsen, Gauti Kristmannsson, Helen McHugh, Jon Arild Olsen, Dana Davis Sheridan, Páraic Sheridan, John Tinsley

This paper updates the progress made on the PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme.

Machine Translation Translation

Improving Robustness in Real-World Neural Machine Translation Engines

no code implementations • WS 2019 • Rohit Gupta, Patrik Lambert, Raj Nath Patel, John Tinsley

As a commercial provider of machine translation, we are constantly training engines for a variety of uses, languages, and content types.

Machine Translation NMT +1

Exploiting Parallel Corpus for Handling Out-of-Vocabulary Words

no code implementations • PACLIC 2013 • Juan Luo, John Tinsley, Yves Lepage

Transliteration

PLUTO: Automated Solutions for Patent Translation

no code implementations • WS 2012 • John Tinsley, Alex Ceausu, ru, Jian Zhang

Domain Adaptation Machine Translation +1